This clinical trial focuses on testing the efficacy of different digital interventions to promote re-engagement in cancer-related long-term follow-up care for adolescent and young adult (AYA) survivors of childhood cancer.
Effective training requires repeated opportunities for skills practice with performance-based feedback, which is challenging to provide at scale. This research study focuses on developing an AI-based, coding and feedback tool ("LyssnCrisis") for implementation in a nationally utilized crisis call center, training counselors (call-takers) in suicide risk assessment skills, and evaluating LyssnCrisis to improve services and client outcomes. This research study's goal is to maximize the human capacity of call-takers to help assess their callers for risk of suicidality, and thus, a core aspect of the current research is developing a novel training process that supports human call-taker capacities.
Voice-Based AI to Scale Evaluation of Crisis Counseling in 988 Rollout
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
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Sponsor: Lyssn.io, Inc.
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.